NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Koochiching County, MN Series ID: MHICILBMN27071A052NCEN Source: U.S. Census Bureau Release: Small Area Income and Poverty Estimates Seasonal Adjustment: Not Seasonally Adjusted Frequency: Annual Units: Dollars Date Range: 1989-01-01 to 2022-01-01 Last Updated: 2023-12-14 1:11 PM CST Notes: The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 21776 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 26083 1994-01-01 . 1995-01-01 27989 1996-01-01 . 1997-01-01 31404 1998-01-01 32722 1999-01-01 34037 2000-01-01 34884 2001-01-01 34311 2002-01-01 34973 2003-01-01 36307 2004-01-01 37192 2005-01-01 35361 2006-01-01 36517 2007-01-01 38586 2008-01-01 35607 2009-01-01 36629 2010-01-01 37862 2011-01-01 38444 2012-01-01 39763 2013-01-01 40686 2014-01-01 40199 2015-01-01 42727 2016-01-01 44754 2017-01-01 44235 2018-01-01 41827 2019-01-01 47261 2020-01-01 49307 2021-01-01 53516 2022-01-01 56350